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Designing Data-Intensive ApplicationsBy Martin Kleppmann

Data Science from Scratch, 2nd EditionBy Joel Grus

Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R, First EditionBy Joel Ross, Michael Freeman

Python Data Science HandbookBy Jake VanderPlas

Popular in live online training

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February 3, 10, 17, 24, March 3 & 10, 2022

Essential Math for Data Science in 6 Weeks

Presented by Thomas Nield

Achieve practical math proficiency using Python With the availability of data, there is a growing demand for talent who can analyze and make sense of it. This makes practical math all ...

March 4, 2022

Apache Hadoop, Spark, and Kafka Foundations: Effective Data Pipelines

Presented by Douglas Eadline

Learn How the Major Tools in the Scalable Analytics Ecosystems Interoperate The course will cover the essential introductory aspects of Hadoop, Spark, Kafka, and Big Data. A concise and essential overview ...

February 9, 2022

Data Superstream: Data Lakes and Warehouses

Presented by Alistair Croll

Storing, processing, and moving data in the cloud efficiently and cost-effectively is a must for working with todayâs enormous datasets. These expert-led sessions will help you gain insight into how to ...

February 14, 2022

Data Mesh in Practice

Presented by Max Schultze, Arif Wider

How to set the foundations for federated data ownership The data lake paradigm is often considered the scalable successor of the more curated data warehouse approach when it comes to democratization ...